Mapping temporal-network percolation to weighted, static event graphs
Abstract The dynamics of diffusion-like processes on temporal networks are influenced by correlations in the times of contacts.This influence is particularly strong for processes where the spreading agent has a limited lifetime at nodes: disease spreading (recovery time), diffusion of rumors (lifetime of information), and passenger routing (maximum